Robot navigation in the presence of humans raises new issues for motion planning and
control when the humans must be taken explicitly into account. We claim that a human …

An increasingly common requirement of computer systems is to extract information
regarding the people present in an environment. In this article, we provide a survey of the …

This paper addresses the problem of detecting people in two dimensional range scans.
Previous approaches have mostly used pre-defined features for the detection and tracking of …

We are developing robots with socially appropriate spatial skills not only to travel around or
near people, but also to accompany people side-by-side. As a step toward this goal, we are …

We present an approach to laser-based people tracking using a multi-hypothesis tracker that
detects and tracks legs separately with Kalman filters, constant velocity motion models, and …

Mobile robots that encounter people on a regular basis must react to them in some way.
While traditional robot control algorithms treat all unexpected sensor readings as objects to …

This paper presents a multiple target tracking approach for following and passing persons in
the context of human-robot interaction. The general purpose for the approach is the use in …

We present a method for a mobile robot to follow a person autonomously where there is an
interaction between the robot and human during following. The planner takes into account …

People detection is a key capacity for robotics systems that have to interact with humans.
This paper addresses the problem of detecting people using multiple layers of 2D laser …

People tracking based on multisensor information fusion is addressed. A framework is
presented for fusing the laser range finder (LRF) data and the monocular camera data …